Superconducting Qubits: Latest IBM, Google & Rigetti Developments
Latest superconducting qubit news: IBM Quantum, Google Willow chip, Rigetti Novera. Cryogenic systems, error correction & quantum supremacy updates.
Superconducting qubits represent the most commercially advanced quantum computing technology, powering systems from IBM, Google, and Rigetti. These quantum processors leverage Josephson junctions—superconducting circuits that create non-linear inductance—to generate controllable quantum states at temperatures near absolute zero (15-20 millikelvin).
The dominant superconducting qubit design, the transmon qubit, balances coherence time and control simplicity by reducing sensitivity to charge noise. Recent breakthroughs include Google's Willow chip achieving below-threshold quantum error correction, demonstrating that increasing qubit count can actually reduce errors—a critical milestone for fault-tolerant quantum computing. IBM continues scaling its Heron processor architecture toward 1,000+ qubit systems while improving gate fidelities above 99.5%.
India's National Quantum Mission & Superconducting Qubits
India's National Quantum Mission (NQM), approved by the Union Cabinet on 19 April 2023 with an allocation of ₹6,003.65 crore for eight years (2023-2031), prioritizes superconducting qubit development under its Quantum Computing Thematic Hub. The Foundation for QC Innovation at IISc Bengaluru serves as the lead institution for this hub, working with IIT Delhi, IIT Bombay, TIFR Mumbai, and other institutions. The Tata Institute of Fundamental Research (TIFR) in Mumbai has established dilution refrigeration laboratories capable of operating at ultra-low temperatures to support superconducting qubit research. In August 2024, DRDO scientists from the Young Scientists Laboratory for Quantum Technologies (DYSL-QT), in collaboration with TIFR and TCS, completed end-to-end testing of a 6-qubit superconducting quantum processor with a novel ring-resonator design. This system includes a cloud-based interface developed by TCS for submitting quantum circuits and receiving computed results.
The NQM targets developing intermediate-scale quantum computers with 50-1000 physical qubits in eight years using various platforms including superconducting and photonic technology. Indigenous development of quantum fabrication facilities is underway, with IISc Bengaluru and IIT Bombay establishing quantum computing fabrication facilities under a ₹720 crore investment announced in November 2025. These facilities will support superconducting, photonic, and spin qubit technologies.
Key Advantages
Key advantages of superconducting qubits include nanosecond gate speeds enabling rapid algorithm execution, established semiconductor fabrication processes supporting manufacturing scalability, and a strong cryogenic infrastructure ecosystem. Current challenges include decoherence times (100-300 microseconds) that remain shorter than trapped-ion alternatives, error rates requiring extensive quantum error correction overhead, and cryogenic operation demands for specialized infrastructure.
Major Players
Major global players include IBM Quantum with cloud-accessible systems (Eagle, Osprey, Condor processors), Google Quantum AI focusing on error correction and quantum supremacy demonstrations, and Rigetti Computing offering hybrid quantum-classical systems. In India, the Foundation for QC Innovation at IISc, TIFR Mumbai, and IIT Bombay are building national capability with NQM support, while startups including QpiAI India are working on superconducting quantum computers.
quantum-computingTop Diamond NV-Centre Quantum Computing Companies in 2026
Insider Brief Most quantum computing discussions start with superconducting chips in dilution refrigerators, or ion traps in vacuum chambers the size of a washing machine. Diamond NV centers are a different story. The qubit is a defect in a carbon crystal. It runs at room temperature. It fits in your hand and in 2026, it […]
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quantum-computingImproved Research and Roadmaps For Quantum to Crack Main Internet Security RSA-2048
Shor’s algorithm for factoring RSA-2048 (and related problems like elliptic-curve discrete logs) has seen dramatic reductions in estimated resources over the past 18 months. Theoretically breaking RSA-2048 would still require multi-day runtimes and billions of non-Clifford logical operations (primarily Toffoli gates) under realistic error rates (~0.1%) and cycle times. This remains far beyond near-term machines. Eventual runs will likely take days or many trillions of operations when full physical overhead is counted. Key Recent Theoretical Papers (2025–2026) Here are the most important open-access results: Craig Gidney (Google Quantum AI), May 2025 [How to factor 2048 bit RSA integers with less than a million noisy qubits](https://arxiv.org/abs/2505.15917) Combines approximate residue arithmetic (from Chevignard–Fouque–Schrottenloher), yoked surface codes, and magic-state cultivation. Result is less than 1 million noisy physical qubits, ~1,400–1,600 logical qubits, ~6.5 billion Toffoli gates, expected runtime under one week (at 1 µs surface-code cycle time, 0.1% physical error). This is a ~20× reduction in physical qubits versus Gidney–Ekerå 2019 (20 million qubits / 8 hours). Paul Webster et al. (Iceberg Quantum), February 2026 [The Pinnacle Architecture: Reducing the cost of breaking RSA-2048 to 100,000 physical qubits using quantum LDPC codes](https://arxiv.org/abs/2602.11457) Uses high-rate quantum LDPC codes for much lower spacetime overhead. Result Fewer than 100,000 physical qubits (e.g., ~94k at 0.1% error), runtime on the order of **one month** (1 µs cycle) or tunable with more qubits or slower cycles. Further drops to ~22k qubits at 0.01% error. March 2026 neutral-atom focused paper [Shor’s algorithm is possible with as few as 10,000 reconfigurable atomic qubits](https://arxiv.org/html/2603.28627v1) (arXiv:2603.28627) High-rate lifted-product QLDPC codes + reconfigurable neutral atoms with specialized zones (memory, processing, surgery, magic states). Res
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quantum-computingSEALSQ and Quobly Execute $5M Commercial Accord to Embed Post-Quantum Cryptography in Silicon Quantum Processors
SEALSQ and Quobly Execute $5M Commercial Accord to Embed Post-Quantum Cryptography in Silicon Quantum Processors Post-quantum semiconductor developer SEALSQ Corp (NASDAQ: LAES) has signed a $5 million commercial agreement with French silicon-based quantum hardware pioneer Quobly. The contract signals the deployment phase of a technology partnership initiated in November 2025 following SEALSQ’s direct equity investment in the firm. The contract tracks Quobly’s massive €115 million Series A capitalization round completed in June 2026, funding the industrialization of its Fully Depleted Silicon-On-Insulator (FD-SOI) quantum processor architecture. Under the terms of the transaction, SEALSQ will provide a specialized portfolio of quantum-resistant hardware cores, cryptographic modules, and security architecture engineering services to harden Quobly’s multi-vendor cloud and data center platforms against future decryption threats. [ SEALSQ - Quobly Integration Matrix ] Commercial Value ──► $5 Million commercial integration and engineering services contract. Hardware Foundation ──► Quobly 300 mm FD-SOI silicon spin qubit processor architecture. Security Layers ──► Cryo CMOS ASICs, Hardware Roots of Trust, and Post-Quantum PKI. Product Launch ──► Cloud deployment of "Alloy Pioneer" processor scheduled by end-of-2026. The Engineering Framework of Cryogenic Quantum Hardening The technological intersection addresses an overlooked vulnerability within the emerging quantum computing hardware stack: the security and validation of the classical and mixed-signal sub-systems that directly drive the quantum core. While a quantum processor manipulates delicate quantum states, its physical orchestration requires a massive perimeter of cryogenic control electronics, classical processing units, telemetry lines, and network cloud routing systems. If an adversary compromises these peripheral vectors, they can alter algorithm execution parameters, intercept processing data, or spoof device
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quantum-computingBTQ Technologies and ICTK Finalize Architecture for Next-Generation Post-Quantum Security Chip
BTQ Technologies and ICTK Finalize Architecture for Next-Generation Post-Quantum Security Chip Global quantum-safe engineering firm BTQ Technologies Corp. (Nasdaq: BTQ) has finalized the technical design phase for its next-generation hybrid security processor. Developed in direct cooperation with South Korean secure-element pioneer ICTK Co., Ltd. (KOSDAQ: 456010), the system architecture marks a structural milestone by integrating post-quantum cryptography (PQC) accelerators with physical hardware-rooted hardware identity footprints. The joint engineering track translates the entities’ previous $15 million co-investment and development accord from late 2025 into a deployable silicon blueprint, with manufacturing preparation and foundry scheduling now actively underway. [ QCIM + PUF Chip Architectural Stack ] Cryptographic Core ──► BTQ Quantum Compute-in-Memory (QCIM) soft IP block. Hardware Root/ID ──► ICTK VIA PUF™ passive, ECC-free silicon via extraction. Functional Target ──► Crypto-agile multi-layered acceleration (Classical & PQC). Delivery Window ──► Test chip client shipments scheduled for Q4 2026. The Mechanics of QCIM and VIA PUF Fusion The newly completed semiconductor architecture directly addresses a critical performance bottleneck facing modern edge-computing nodes, Internet of Things (IoT) hardware arrays, and artificial intelligence processors: the high latency and energy overhead typical of running resource-heavy lattice-based post-quantum algorithms. BTQ bypasses this constraint through its proprietary Quantum Compute-in-Memory (QCIM) soft IP architecture. By executing complex multi-layered cryptographic subroutines directly within the chip’s internal memory subsystem rather than constantly shuffling bits back and forth to an external CPU core, QCIM minimizes data bus congestion, scales down power dissipation, and ensures real-time processing agility for both legacy classical ciphers and next-generation quantum-resistant protocols. To establish
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quantum-computingBTQ Technologies and ICTK Complete Design of Quantum-Secure QCIM Security Chip
Insider Brief Press release – BTQ Technologies Corp. (“BTQ“ or the “Company”) (Nasdaq: BTQ) (CBOE CA: BTQ), a global quantum technology company focused on securing mission-critical networks, today announced that it has completed the design of its next-generation QCIM + PUF security chip for the quantum era in collaboration with ICTK Co., Ltd. (“ICTK”) (KOSDAQ: 456010), a leading Korean […]
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quantum-computingResearchers Map Graphs for Distinguishing Quantum States with Two-Way Communication
Scientists at the University of Guelph, Brandon University and Bentley Universit, led by Sooyeong Kim, present the first thorough analysis of graphs representing bipartite product states distinguishable through two-way communication protocols after a finite number of steps. The analysis builds upon existing graph-theoretic approaches for one-way communication, sharply advancing understanding of local distinguishability in quantum information theory and offering insights into the limitations and possibilities of quantum communication protocols. They identify key properties of distinguishable graphs, pinpointing both those that guarantee and preclude local distinguishability, and provide illustrative examples to enable future work. Two-way communication guarantees complete identification of specific quantum states The 26 June 2026 publication demonstrates, for the first time, that 100% of bipartite product states with specific graph representations can be distinguished using two-way Local Operations and Classical Communication (LOCC). This is a sharp improvement over previous one-way protocols which could not guarantee distinguishability in all cases. The core concept of LOCC dictates that two or more parties, each possessing a quantum system, can perform local operations, measurements and unitary transformations, on their respective systems and communicate classical information. This communication is crucial for coordinating strategies to distinguish between different quantum states. Previous research largely focused on scenarios where communication was strictly one-way, limiting the ability to definitively identify all possible states. This breakthrough overcomes a fundamental limitation in quantum communication, enabling complete state identification through reciprocal communication between parties. Extending existing graph-theoretic methods to analyse scenarios where Alice and Bob freely exchange classical information during measurement revealed key properties of
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quantum-computingNew Plaquette Framework for Benchmarking Fault-Tolerant Quantum Computers
Researchers led by Raul Conchello Vendrell and fourteen colleagues have introduced Plaquette, a framework designed to assess the performance of fault-tolerant quantum computers using realistic hardware imperfections. Unlike traditional simulations that often rely on simplified noise models, Plaquette directly incorporates physical errors such as superconducting transmons leaking from their computational state, neutral atom scattering, and trapped ion heating. The framework integrates four distinct sampler classes, including a new “XPauli” sampler, allowing for comprehensive evaluation across various error types and validation against full-state simulations. The team’s report indicates that a hardware error model can be specified once using Kraus operators, Hamiltonian-Lindblad dynamics, or experimentally reconstructed quantum channels, then automatically compiled for use across all sampler types; this flexibility is crucial for accurately estimating logical performance and reliable error budgets. Plaquette offers a direct link between a device’s physical characteristics and the quantum computer built upon it. Plaquette addresses the limitations of simplified noise models commonly used in quantum computing simulations; hardware noise frequently deviates from purely stochastic Pauli errors, demanding more sophisticated approaches to accurately predict fault-tolerant performance. This focus on real-world hardware constraints, rather than idealized scenarios, is central to Plaquette’s design. These classes, stabilizer sampling, the new XPauli sampler, near-Clifford samplers, and full-state simulation, enable a comprehensive evaluation of fault-tolerant quantum computer performance across a range of error types, moving beyond the constraints of traditional stabilizer simulations. Validation of the XPauli and near-Clifford samplers against full-state simulation demonstrates their accuracy, achieving statistical parity while Pauli twirling methods can fall short depending
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quantum-computingQuTech Releases Tuna-17 Superconducting Quantum Computer Through Quantum Inspire - The Quantum Insider
QuTech Releases Tuna-17 Superconducting Quantum Computer Through Quantum Inspire The Quantum Insider
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quantum-computingQuTech Releases Tuna-17 Superconducting Quantum Computer Through Quantum Inspire
Insider Brief Press release – QuTech, in collaboration with the Delft quantum technology ecosystem, has released Tuna-17: a new open-architecture superconducting quantum computer designed to advance Europe’s publicly accessible quantum computing capabilities. Developed by QuTech at TU Delft, Tuna-17 is now available worldwide through the Quantum Inspire cloud platform, offering free and open access to […]
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SAS Unveils Quantum Lab on Viya Platform, Combining Emulated Workloads with a “Physics-First” Auditing Approach
SAS Unveils Quantum Lab on Viya Platform, Combining Emulated Workloads with a “Physics-First” Auditing Approach Enterprise analytics architecture pioneer SAS has introduced SAS Quantum Lab, a development and simulation environment embedded natively inside its cloud-native SAS Viya data platform. Announced at the SAS Innovate conference in Dallas, Texas, the platform treats quantum computing as a downstream step in a hybrid workflow, prioritizing heavy initial algorithmic verification and auto-tuning on classical infrastructure before committing code to physical quantum processors. The software rollout coincides with the publication of the company’s 2026 global industry survey evaluating over 500 technology executives, which revealed that uncertainty around practical, real-world business use cases has surpassed capital expense as the primary adoption barrier in the post-classical space. [ SAS Quantum Lab Ecosystem ] Integration Node ──► Native emulation layer inside the cloud-based SAS Viya architecture. Compute Core ──► Distributed parameter tuning powered by classical CAS workers. Validation Gains ──► Internal testing demonstrates a >100x speedup and 99% baseline development savings. Pragmatic Strategy ──► Algorithmic "classical-first" auditing to prevent excessive hardware fees. A Structural Shift in Enterprise Adoption Barriers The company’s annual analytics report indicates that while 2025 enterprise bottlenecks were defined by raw implementation costs (38%) and a baseline lack of basic comprehension (35%), 2026 industry leaders generally understand what quantum AI represents. Instead, they are proceeding with extreme caution, hesitant to allocate capital to expensive quantum hardware leases out of fear that the investments will not yield immediate, measurable problem-solving utility. To bridge this implementation gap, SAS outlines classical and quantum computing as a continuum. High-density optimization and machine learning workloads are segmented, allowing
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quantum-computingShanghai Quantum Sensing Intelligence Secures Tens of Millions of Yuan in Angel Round to Scale Photonic Sensing Infrastructure
Shanghai Quantum Sensing Intelligence Secures Tens of Millions of Yuan in Angel Round to Scale Photonic Sensing Infrastructure Deep-tech hardware developer Shanghai Quantum Sensing Intelligence Technology Co., Ltd. has completed an angel round of financing, securing tens of millions of yuan. The capitalization round was led by Futeng Capital (a specialized investment vehicle operating under the sovereign Shanghai State Investment banner), with co-investment from Liuhe Venture Capital. Established in September 2023 as an industrial spin-out incubated by members of the Quantum Sensing Research Institute at Shanghai Jiao Tong University (SJTU), the firm focuses on the commercialization of room-temperature quantum precision measurement devices. The capital injection accelerates small-batch trial production lines, team extensions, and the deployment of microfabrication modules across aerospace, military, and energy infrastructure markets. [ Quantum Sensing Intelligence Architecture ] Financial Injection ──► Tens of millions of yuan in Angel Funding led by Futeng Capital. Core Technology ──► Room-temperature Photonic Quantum Enhancement Module platforms. Operational Markets ──► Navigation-grade inertial gyroscopes and trace power grid gas monitoring. Strategic Roadmap ──► Integrating quantum precision sensing with Edge Quantum AI computing. Photonic Quantum Enhancement Mechanics The technological framework developed by the co-founding team addresses an engineering limitation in classical precision instruments: the high signal-to-noise ratio (SNR) degradation that occurs when trying to isolate ultra-weak physical indicators from background system noise. Rather than shifting to cryogenic control mechanisms or large vacuum enclosures that limit field transportability, the company employs a proprietary photonic quantum enhancement technology that operates continuously at room temperature. This approach integrates a quantum enhancement layer directly into existing classical op
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quantum-computingAmsterdam’s QDNL Participations Rebrands as Ground State Ventures, Secures Over €75.2M for Early-Stage Quantum Fund
Amsterdam’s QDNL Participations Rebrands as Ground State Ventures, Secures Over €75.2M for Early-Stage Quantum Fund Amsterdam-based specialized venture capital firm QDNL Participations has announced its formal corporate rebranding to Ground State Ventures as it prepares the final close of its inaugural early-stage quantum technology fund. The vehicle has raised over €75.2 million ($88 million), significantly outpacing its original capital target of €59.8 million ($70 million). The operational restructure and expanded capital allocation plan reflect the firm’s strategic transition from localized seed investments in the Netherlands to structured cross-border deal execution across Europe and the United States. [ Ground State Ventures Capital Pool ] Fund Status ──► Approaching final close with €75.2M+ ($88M) raised. Initial Target ──► Oversubscribed beyond the original €59.8M ($70M) baseline. Investment Scope ──► Early-stage checks across computing, sensing, networks, and infrastructure. Asset Management ──► Distributed operational bases in Amsterdam, London, and San Francisco. Originally established in 2022 by General Partner Ton van ‘t Noordende, the fund functioned as the initial institutional pre-seed anchor for the thriving Dutch quantum computing and sensing ecosystem. The firm’s early portfolio included primary positions in notable spin-outs from the Delft and Leiden hubs, including hardware developer QuantWare, microwave controller manufacturer Qblox, quantum-frequency converter designer QphoX, cell-tracking biophysics specialist QT Sense, and quantum network architect Q*Bird. The new international deployment thesis shifts capital toward global hubs, supporting initial investment rounds for Swiss cryogenic microelectronics group Rhonexum alongside U.S.-based entities Diffraqtion, Quantum Elements, and SiC Systems. The structural scaling of Ground State Ventures is reinforced by the addition of partner Chad Rigetti, founder and former CEO of Rigetti Computing. Th
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quantum-computingQuTech Launches Open-Architecture Tuna-17 Superconducting Processor on Quantum Inspire Cloud Platform
QuTech Launches Open-Architecture Tuna-17 Superconducting Processor on Quantum Inspire Cloud Platform Quantum research center QuTech—a joint collaboration between the Delft University of Technology (TU Delft) and the Netherlands Organisation for Applied Scientific Research (TNO)—has announced the deployment of its latest superconducting quantum computer, Tuna-17. Accessible globally through the Quantum Inspire public cloud platform, the processor provides researchers, engineers, and educators with open, un-capped access to live physical quantum hardware. The launch represents the third system release within a 12-month development cycle, succeeding the earlier Tuna-5 and Tuna-9 processors, and establishes a highly standardized operational baseline before the upcoming deployment of the larger 28-qubit variant (Tuna-28). [ Tuna-17 System Architecture ] QPU Modality ──► 17 superconducting qubits integrated with 24 tunable couplers. Value Chain Node ──► 100% European open-architecture consortium anchored in Delft. Software Interface ──► Direct open-source SDK compilation via Qiskit and PennyLane libraries. Cloud Access Model ──► Free public access via Quantum Inspire; up to 100,000 shots per batch. The Architecture of the Tuna-17 Processor The underlying hardware design, developed by the DiCarlo Lab at QuTech, features a planar layout of 17 superconducting qubits cross-connected by 24 tunable couplers. This physical architecture is engineered specifically to execute multi-qubit Quantum Error Correction (QEC) protocols and surface-code logic gates. By integrating tunable couplers, the system can dynamically adjust inter-qubit coupling frequencies, suppressing parasitic spectator effects and residual crosstalk during parallel gate operations. This specific hardware optimization strategy was detailed in the team’s peer-reviewed paper, “Optimizing the Frequency Positioning of Tunable Couplers in a Circuit QED Processor to Mitigate Spectator Effects on Quantum Operations,” pu
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quantum-computingD-Wave Quantum vs. Rigetti Computing: Which Quantum Computing Stock Is a Better Buy in 2026? - The Globe and Mail
D-Wave Quantum vs. Rigetti Computing: Which Quantum Computing Stock Is a Better Buy in 2026? The Globe and Mail
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quantum-computingD-Wave Quantum vs. Rigetti Computing: Which Quantum Computing Stock Is a Better Buy in 2026? - The Motley Fool
D-Wave Quantum vs. Rigetti Computing: Which Quantum Computing Stock Is a Better Buy in 2026? The Motley Fool
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quantum-computingNeural Networks Accelerate Design of Superconducting Quantum Systems
A new application of deep neural networks accelerates the design of superconducting radio-frequency cavities and transmon qubits for bosonic quantum computation. Joseph Yaker of the Superconducting and Quantum Materials System Centre (SQMS), and colleagues, in collaboration with the University of Cambridge, Illinois Institute of Technology, and Northwestern University, tackle the challenge of inverse design, determining device geometries to achieve specific electromagnetic and coupling targets. Traditionally, this becomes computationally expensive as systems scale, demanding significant resources and time for even modest design explorations. Their two deep neural network approaches rapidly map desired device behaviour to candidate designs, achieving accuracy within approximately 5% for cavity observables and 2% for transmon qubit parameters including coupling rate, frequency, and anharmonicity, as verified through re-simulation. This fast alternative to iterative simulation studies represents a key step towards scalable design of complex quantum systems. Deep learning enables two percent accuracy in transmon qubit design prediction Transmon qubit parameters are now predicted with approximately 2% accuracy, a substantial improvement over previous methods reliant on computationally expensive iterative simulations. Conventional methods, typically involving finite element analysis and optimisation algorithms, struggled to achieve comparable accuracy within reasonable timescales, often requiring weeks or months of computation for a single design iteration. Deep neural networks directly map desired device behaviour to candidate designs, bypassing the need for lengthy trial-and-error processes, which is particularly important for scaling up quantum systems where the number of design variables increases exponentially. The inherent complexity arises from the need to simultaneously optimise multiple parameters, including qubit frequency, anharmonicity (which defines the nonli
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quantum-computingXanadu Establishes New York Operations Hub to Expand Photonic Hardware Manufacturing Footprint
Xanadu Establishes New York Operations Hub to Expand Photonic Hardware Manufacturing Footprint Publicly traded photonic quantum computing frontrunner Xanadu Quantum Technologies Limited (NASDAQ/TSX: XNDU) has announced a major geographic expansion of its U.S. commercial operations with the opening of a dedicated office in Albany, New York. The strategic placement positions the Toronto-headquartered company within Upstate New York’s advanced semiconductor research and packaging corridor. This expansion reflects an broader U.S. recruitment drive across 19 states—including an active design cluster in the San Francisco Bay Area—resulting in a five-fold increase in the company’s domestic hardware and engineering workforce since 2023. [ Xanadu U.S. Expansion Matrix ] Regional Anchor ──► Albany, New York (Co-located within semiconductor packaging hub). Capital Foundation ──► Backed by over $500 Million USD in private and public market funding. Hardware Vector ──► Room-temperature fault-tolerant photonic quantum processors. Supply Chain Links ──► Production agreements with Corning, Applied Materials, DISCO, and EV Group. The expansion leverages a core technical benefit of the photonic computing modality: the ability to manufacture processing chips directly inside existing, high-volume commercial semiconductor foundries. Unlike competing superconducting loops or trapped-ion systems that require sub-Kelvin dilution refrigerators or vacuum chambers to maintain basic qubit stability, Xanadu’s architecture utilizes light pulses to perform quantum gate operations at room temperature. By embedding its design teams within the Albany semiconductor ecosystem, the firm aims to optimize the mass production of its on-chip Gottesman-Kitaev-Preskill (GKP) qubits—the specialized, error-corrected photonic states required to scale fault-tolerant quantum hardware using industry-standard lithography lines. Led by Founder and CEO Dr. Christian Weedbrook, the company is focusing its expanded wor
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quantum-computingQuantum Rings’ Open Quantum Product Now Available on the Qbraid Platform
Quantum Rings’ Open Quantum Product Now Available on the Qbraid Platform Quantum Rings has announced a partnership with qBraid to make their Open Quantum platform available within the qBraid Lab. The development will provide developers and researchers free, subsidized access to QPUs from IonQ, Rigetti, IQM, and AQT. With Open Quantum, users will have available a unified access point to run programs and try out different quantum architectures by just changing a single line of code. qBraid currently has over 27,000 developers on their system and these developers can link their account to Open Quantum by visiting openquantum.com/qbraid to link the accounts. User accounts with the hardware providers will not be required making it simpler for a developer to get started. New users will get $50 in free credits to get started with opportunities to grab another $50 in free compute every 90 days. Users who want to purchase more credits, can do so at a discounted rate of about half the retail price, if they are open to sharing their data. Additional information is available in a press release provided by Quantum Rings located here as well as a web page where a user can start the sign-up process by visiting here. July 9, 2026 dougfinke2026-07-09T11:28:50-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.
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quantum-computingPan and Colleagues Implement Patch-Based Logical Operations for Surface-Code Processing
A new set of tools for fault-tolerant logical operations brings practical quantum computation closer to reality. Weiping Lin and colleagues from University of Science and Technology of China, Tsinghua University and Zhongguancun Laboratory, have experimentally realised key elements of surface-code logical processing using a 107-qubit superconducting quantum processor. They implemented reusable primitives for manipulating surface-code patches, enabling logical state routing and a full Clifford gate set, a sharp advance beyond storing protected logical memory. The demonstration represents a vital progression in superconducting surface-code experiments, paving the way for more complex quantum algorithms and fault-tolerant computation. Reusable qubit operations enable flexible surface code manipulation A new breakthrough hinged on developing a ‘primitive layer’ of reusable operations for manipulating surface-code patches; this is akin to a mosaic artist mastering a few key tile arrangements that can then be combined to create complex designs. Surface codes are a leading approach to quantum error correction, encoding logical qubits using multiple physical qubits arranged in a two-dimensional lattice. Protecting quantum information requires maintaining the delicate superposition and entanglement of qubits, which are highly susceptible to environmental noise. Surface codes achieve this by distributing the quantum information across the lattice and encoding it in the correlations between qubits. The developed primitive layer allows for dynamic rearrangement of these encoded qubits without destroying the encoded information. Merge, split, expansion, shrinkage, and deformations mediated by domain walls and twist defects allowed for precise reshaping of sections of the qubit grid without disrupting the encoded quantum information. Domain walls represent boundaries between regions with different logical properties, while twist defects introduce controlled changes in the lattice
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quantum-computingQUDORA Partners with QAI to Bring Ion-Trap Quantum Computing to South Korea
Insider Brief Press release – QUDORA Technologies GmbH (“QUDORA“), a European full-stack ion-trap quantum computing company, today announced the signing of a Memorandum of Understanding (MOU) with Korean quantum AI specialist QAI Co., Ltd. (“QAI”) to pursue the deployment of QUDORA’s ion-trap quantum computing technology in Korea and demonstrate hybrid AI-Quantum services for a wide […]
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